Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wavlm
librispeech_asr
Generated from Trainer
wavlm_libri_finetune
Instructions to use patrickvonplaten/wavlm-libri-clean-100h-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/wavlm-libri-clean-100h-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="patrickvonplaten/wavlm-libri-clean-100h-large")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("patrickvonplaten/wavlm-libri-clean-100h-large") model = AutoModelForCTC.from_pretrained("patrickvonplaten/wavlm-libri-clean-100h-large") - Notebooks
- Google Colab
- Kaggle
File size: 293 Bytes
6ca1c28 | 1 | {"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "./wavlm-librispeech-clean-100h-dist", "tokenizer_class": "Wav2Vec2CTCTokenizer"} |